A processor performs first fluoroscopy on a subject before a treatment tool is inserted under first fluoroscopy conditions including at least one of a predetermined first tube voltage or a predetermined first tube current to acquire a first fluoroscopic image of the subject. The processor performs second fluoroscopy at a predetermined frame rate on the subject after the treatment tool is inserted under second fluoroscopy conditions including at least one of a second tube voltage higher than the first tube voltage or a second tube current smaller than the first tube current to sequentially acquire a plurality of second fluoroscopic images of the subject.

A medical system includes an instrument, a display system, and a processing unit. The instrument includes an instrument shape sensor. The processing unit includes one or more processors. The processing unit is configured to, receive an anatomic model of a patient anatomy, receive shape sensor data from the instrument shape sensor while the instrument is positioned within the patient anatomy and registered to the anatomic model, determine a preferred fluoroscopic image plane for display on the display system based on the received shape sensor data and the area of interest, and provide an indication on the display system to guide positioning of a fluoroscopy system to obtain a fluoroscopic image in the preferred fluoroscopic image plane. An area of interest is identified in the anatomic model.

A computer-implemented method is provided for improving live video quality. The method comprises: (a) acquiring, using a medical imaging apparatus, a stream of consecutive image frames of a subject; (b) feeding the stream of consecutive image frames to a first set of denoising components, wherein each of the first set of denoising components is configured to denoise an image frame from the stream of consecutive image frames in a spatial domain to output an intermediate image frame; (c) feeding a plurality of the intermediate image frames to a second denoising component, wherein the second denoising component is configured to (i) denoise the plurality of the intermediate image frames in a temporal domain and (ii) generate a weight map; and outputting a final image frame with improved quality in both temporal domain and spatial domain based at least in part on the weight map.

A method for evaluating image data of a patient showing a target region to be treated with an embolizing agent includes providing a three-dimensional time-resolved image data set of a vascular system portion of the patient. A structural parameter that describes a geometry of at least the vascular system portion and/or a basic information item including dynamic parameters that describe hemodynamics in the vascular system portion is established from the image data set by an analysis algorithm. An embolization information item describing a plurality of embolizing agents that are to be used is provided. An actuation information item describing a suitable composition of the plurality of embolizing agents, for an intervention facility used for carrying out the treatment is established by an establishing algorithm that uses the basic information item and the embolization information item, and the actuation information item is provided to the intervention facility.

An image processing apparatus includes an obtaining unit configured to obtain a first radiation image of an inspection target object that has been captured by a radiation imaging apparatus, and a generation unit configured to generate a second radiation image including noise reduced as compared with the first radiation image, by inputting the first radiation image obtained by the obtaining unit, to a learned model obtained by performing learning using learning data including a radiation image to which noise simulating system noise of a radiation imaging apparatus in accordance with a distribution that is based on a manufacturing variation of a radiation imaging apparatus is added.

An X-ray image processing apparatus of an embodiment includes processing circuitry. The processing circuitry acquires fluoroscopy-related information indicating at least one of a fluoroscopic image and a condition for collecting the fluoroscopic image. The processing circuitry evaluates the image quality of the fluoroscopic image based on the fluoroscopy-related information. The processing circuitry outputs identification information identifying whether to save the fluoroscopic image based on the evaluation result.

Described herein are systems and methods for image-based (e.g., MRI-based) spatial and temporal mapping of macrophages and other cell types, without the need for image contrast agents. These systems and methods are particularly useful for imaging macrophages because they naturally store metabolites, such as iron. Alternatively, the systems and methods described herein can be used where contrast agents are administered, rather than looking only at endogenous metabolite deposits.

In one embodiment, a medical image processing apparatus used for a treatment using a device includes a memory configured to store a volume data of an object; and processing circuitry configured to acquire positional information of the device, set, in an X-ray image generated by imaging an object using X-ray, a region on which a volume-based 2D image generated from the volume data is to be superimposed, based on the positional information of the device, and generate a superimposed image by superimposing the volume-based 2D image on the set region in the X-ray image.

A system and method for guiding invasive medical devices relative to other medical devices is disclosed. An imaging device can generate images of the invasive medical device within a body. A trained model for the invasive medical device can be trained on annotated images of the invasive medical device with at least one of orientation and position information. An imaging computer system can apply the trained model to unannotated images of the invasive medical device to determine at least one of a current orientation and a current position of the invasive medical device relative to another medical device within the body. At least one of visual orientation information representing the current orientation of the invasive medical device relative to the other medical device and visual position information representing the current position of the invasive medical device relative to the other medical device within the body can be outputted.

An image analysis device is capable of outputting evaluation information for use in the balloon catheter treatment for subjects, in real time during a procedure using a balloon catheter. The image analysis device includes: an input unit configured to input captured image data of a two-dimensional captured image of a balloon catheter inserted into an organ of the subject and pressed against an inner surface of the organ; a processing unit configured to obtain evaluation image data of the two-dimensional evaluation image, by executing an image processing on the captured image based on the captured image data input by the input unit, and configured to obtain evaluation information regarding a state of the balloon catheter pressed against the inner surface of the organ based on the evaluation image data; and an output unit configured to output the evaluation information acquired by the processing unit.